Markus Müschen
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 50
- Acute Myeloid Leukemia Research 11
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 51
- Immunology top 2%
- Immune Cell Function and Interaction 19
- Oncology top 2%
- CAR-T cell therapy research 15
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- Lymphoma Diagnosis and Treatment 18
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- Acute Lymphoblastic Leukemia research 70
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- DNA Repair Mechanisms 10
- Co-authors
- Ralf KüppersKlaus RajewskyHassan JumaaUlrich WarskulatHuimin GengMatthias W. BeckmannMichael R. LieberFlorian Klein
- Cited by
- HematologyGeneticsImmunology
- Journals
- Blood (76 papers)The Journal of Experimental Medicine (7 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Markus Müschen
157 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 113
- Hematology 984
- Genetics 814
- Immunology 1.1k
- Oncology 1.1k
- Pathology and Forensic Medicine 702
Countries citing papers authored by Markus Müschen
This map shows the geographic impact of Markus Müschen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Müschen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Müschen more than expected).
Fields of papers citing papers by Markus Müschen
This network shows the impact of papers produced by Markus Müschen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Müschen. The network helps show where Markus Müschen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Müschen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 50 | |
| 7 | 2019 | 39 | |
| 8 | 2018 | 91 | |
| 9 | 2017 | 11 | |
| 10 | 2017 | 30 | |
| 11 | 2016 | 66 | |
| 12 | 2015 | 5 | |
| 13 | 2012 | 21 | |
| 14 | 2011 | 70 | |
| 15 | 2011 | 78 | |
| 16 | 2010 | 32 | |
| 17 | 2010 | 51 | |
| 18 | 2009 | 7 | |
| 19 | 2007 | 33 | |
| 20 | 2004 | 10 |
About Markus Müschen
Markus Müschen is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Immunology and Oncology, having authored 165 papers that have together received 4.3k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (70 papers), Chronic Lymphocytic Leukemia Research (51 papers), Chronic Myeloid Leukemia Treatments (50 papers), Immune Cell Function and Interaction (19 papers), Lymphoma Diagnosis and Treatment (18 papers), CAR-T cell therapy research (15 papers), Acute Myeloid Leukemia Research (11 papers) and DNA Repair Mechanisms (10 papers). The work is most often cited by research in Hematology (984 citations), Genetics (814 citations), Immunology (1.1k citations), Oncology (1.1k citations) and Pathology and Forensic Medicine (702 citations). Markus Müschen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ralf Küppers, Klaus Rajewsky, Hassan Jumaa, Ulrich Warskulat, Huimin Geng, Matthias W. Beckmann, Michael R. Lieber, Florian Klein, Daniel Ré and Volker Diehl. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Cancer Research and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.